Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
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Updated
May 4, 2021 - Jupyter Notebook
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
Detecting active fire hotspots and unsupervised clustering hotspots using VIIRS thermal remote sensing data.
A fire risk card for Home Assistant
Repository of the datatonFach: Evaluate and predict fire risk using Landsat and Fasat-Charlie satellite data, using DINOv2 model for spatial representation extraction and a KNN for classification, Visualizable on a Streamlit platform
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